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Cited by 258

The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.

Survey on Misbehavior Detection in Cooperative Intelligent Transportation Systems

Open access
van der Heijden, Rens Wouter, Dietzel, Stefan, Leinmuller, Tim, Kargl, Frank·2019·IEEE Communications Surveys & Tutorials
DOI 10.1109/comst.2018.2873088
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Abstract

Cooperative intelligent transportation systems (cITS) are a promising technology to enhance driving safety and efficiency. Vehicles communicate wirelessly with other vehicles and infrastructure, thereby creating a highly dynamic and heterogeneously managed ad-hoc network. It is these network properties that make it a challenging task to protect integrity of the data and guarantee its correctness. A major component is the problem that traditional security mechanisms like public key infrastructure (PKI)-based asymmetric cryptography only exclude outsider attackers that do not possess key material. However, because attackers can be insiders within the network (i.e., possess valid key material), this approach cannot detect all possible attacks. In this survey, we present misbehavior detection mechanisms that can detect such insider attacks based on attacker behavior and information analysis. In contrast to well-known intrusion detection for classical IT systems, these misbehavior detection mechanisms analyze information semantics to detect attacks, which aligns better with highly application-tailored communication protocols foreseen for cITS. In our survey, we provide an extensive introduction to the cITS ecosystem and discuss shortcomings of PKI-based security. We derive and discuss a classification for misbehavior detection mechanisms, provide an in-depth overview of seminal papers on the topic, and highlight open issues and possible future research trends.

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Cites

Show all 86 references

Research works printed but not linked: 32

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Cited by

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Metadata

Authors
van der Heijden, R. W., Dietzel, S., Leinmuller, T., & Kargl, F.
Venue
IEEE Communications Surveys & Tutorials
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2019
Volume
21
Issue
1
Pages
779-811
ISSN
  • 1553-877X (ISSN-L)
  • 2373-745X
DOI
10.1109/comst.2018.2873088
OpenAlex
W2545176003
Cited by
258
References
86
FWCI
10.84
Type
journal article
Language
en
Open access
green
Licence
Funders
Baden-Württemberg Stiftung

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CoChat. (2026). Citation check: Survey on Misbehavior Detection in Cooperative Intelligent Transportation Systems. https://app.cochat.ai/papers/10.1109/comst.2018.2873088
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van der Heijden, R. W., Dietzel, S., Leinmuller, T., & Kargl, F. (2019). Survey on Misbehavior Detection in Cooperative Intelligent Transportation Systems. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/comst.2018.2873088

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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